Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
To embed or not: network embedding as a paradigm in computational biology
Current technology is producing high throughput biomedical data at an ever-growing rate. A
common approach to interpreting such data is through network-based analyses. Since …
common approach to interpreting such data is through network-based analyses. Since …
[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
Comparing methods for comparing networks
With the impressive growth of available data and the flexibility of network modelling, the
problem of devising effective quantitative methods for the comparison of networks arises …
problem of devising effective quantitative methods for the comparison of networks arises …
A new coupled disease-awareness spreading model with mass media on multiplex networks
How to understand the propagation properties of infectious diseases among the population
is an important topic in the field of epidemic modelling. In this paper, we investigate the …
is an important topic in the field of epidemic modelling. In this paper, we investigate the …
Linking sensitive data
Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …
increasing demand to share, integrate, and link such data within and across organisations in …
Adaptive network alignment with unsupervised and multi-order convolutional networks
Network alignment is the problem of pairing nodes between two graphs such that the paired
nodes are structurally and semantically similar. A well-known application of network …
nodes are structurally and semantically similar. A well-known application of network …
An overview of distance and similarity functions for structured data
S Ontañón - Artificial Intelligence Review, 2020 - Springer
The notions of distance and similarity play a key role in many machine learning approaches,
and artificial intelligence in general, since they can serve as an organizing principle by …
and artificial intelligence in general, since they can serve as an organizing principle by …
Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices
C Wang, L Wang, J Wang, S Sun, C **a - Applied Mathematics and …, 2017 - Elsevier
In this paper, we mainly probe into the evolution of cooperation in the spatial public goods
game on interdependent lattices by introducing the reputation inferring mechanism into the …
game on interdependent lattices by introducing the reputation inferring mechanism into the …
A review of point set registration: From pairwise registration to groupwise registration
This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …
the-art modeling methods and algorithms for point set registration are discussed and …